What are the main limitations of GPT-3?
GPT-3 has several limitations, including a lack of understanding of context, inability to access real-time information, and potential biases in its training data.
Can it generate false information?
Yes, GPT-3 can generate false or misleading information, as it doesn't verify facts and relies on patterns in the data it was trained on.
How does it handle ambiguous questions?
GPT-3 may struggle with ambiguous questions, often providing generic responses or misinterpreting the user's intent.
Are there any ethical concerns with using GPT-3?
Yes, ethical concerns include the potential for misuse, spreading misinformation, and reinforcing biases present in the training data.
What improvements are expected in future AI models?
Future AI models are expected to have better contextual understanding, reduced biases, and improved fact-checking capabilities.
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